啟用 NVIDIA AI Enterprise 授權
開發和部署效能、安全性與擴充性接無可比擬的企業人工智慧技術。
準備迎接生產級人工智慧技術
NVIDIA AI Enterprise 是一個端對端的雲端原生軟體平台，可加快資料科學流程，同時簡化生產級檢索增強生成 (RAG)、Co-Pilot 等企業生成式人工智慧應用程式的開發與部署流程。 易於使用的 NIM 推論微服務提供最佳化的模型效能，以及企業級的安全性、支援、管理性和穩定性。
可立即使用的加速功能
探索企業級人工智慧軟體優勢
如何啟用訂閱
請參閱啟用說明，並點擊下方的 NGC 連結。
常問問題
特定 NVIDIA GPU 隨附的 NVIDIA AI Enterprise 軟體權利須自行註冊啟用。需輸入 NVIDIA GPU 的序號才能開始此流程。請檢視上方說明以完成啟用流程。
請依照這些指示來辨識 NVIDIA GPU 的序號。
NVIDIA AI Enterprise 產品頁面提供軟體概覽以及其他許多資源來協助您開始使用。
此處提供完整的技術函式庫指南，包含部署的最佳做法、常見使用案例的參考架構等。
我們建議使用 NVIDIA 認證伺服器，以獲得 NVIDIA AI Enterprise 軟體的最佳效能。請參閱合格系統目錄，並搜尋「NVIDIA 認證類型」下的「AI Enterprise 裸機」，以取得合格系統的清單。
Resources
ddn
NVIDIA DGX™ systems with DDN A3I is the definitive path to production AI with customers worldwide, across generative AI, autonomous vehicles, government, life sciences, financial services, and more. Our integrated solution provides unlimited scaling and improved performance as clusters grow, for faster iteration and, most importantly, speeding business innovation. The combined expertise gives customers the fastest path to a high-performance AI data center with 10X the performance, at a fraction of the power of competitive solutions.
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IBM
IBM Storage Scale System is the ultra-performance solution that drives AI innovation and scales seamlessly from NVIDIA DGX BasePOD™ to the largest DGX SuperPOD™ installations. Deployed by thousands of organizations for GPU acceleration and AI, IBM Storage Scale System delivers six nines of data reliability, cyber resiliency, and multi-protocol data pipelines for the most-demanding enterprises. Software-defined IBM Storage integrates and tiers your data, so you can leverage a global data platform to bring value to your organization and transform data-intensive AI workloads into actionable insights.
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Vast
Achieve limitless scale and performance with the VAST Data Platform, making large-scale AI simpler, faster, and easier to manage. VAST is deployed at some of the world's largest supercomputing centers and leading research institutions. VAST’s unique combination of massively parallel architecture, enterprise-grade security, ease of use, and revolutionary data reduction is enabling more organizations to become AI-driven enterprises. VAST’s deep integration with NVIDIA technologies including NVIDIA® BlueField® and GPUDirect® Storage eliminates complexity and streamlines AI pipelines to accelerate insights.
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NetApp
NetApp and NVIDIA set the IT standard for AI infrastructure, offering proven, reliable solutions validated by thousands of deployments. With NetApp's industry-leading Unified Data Storage, organizations can scale their AI workloads and achieve up to 5X faster insights. NetApp's deep industry expertise and optimized workflows ensure tailored solutions for real-world challenges. Partnering with NVIDIA, NetApp delivers advanced AI solutions, simplifying and accelerating the data pipeline with an integrated solution powered by NVIDIA DGX SuperPOD™ and cloud-connected, all-flash storage.
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Dell
Dell PowerScale delivers an AI-ready data platform that accelerates data processing and AI training—now validated on NVIDIA DGX SuperPOD™. PowerScale's scalable architecture enables effortless expansion, empowering organizations to refine generative AI models and safeguard data through robust security features. With high-speed Ethernet connectivity, PowerScale accelerates data access to NVIDIA DGX™ systems, minimizing transfer times and maximizing storage throughput. Smart scale-out capabilities, including the Multipath Client Driver and NVIDIA® GPUDirect®, ensure organizations can meet high-performance thresholds for accelerated AI model training and inference.
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WEKA
Optimize your data infrastructure investments and push the boundaries of AI innovation with the WEKApod Data Platform Appliance certified for NVIDIA DGX SuperPOD™. Pairing NVIDIA DGX™ infrastructure and networking technologies with the WEKA® Data Platform delivers enhanced performance for diverse AI workloads and fosters faster model training and deployment. The advanced, scale-out architecture transforms stagnant data storage silos into dynamic data pipelines that fuel GPUs more efficiently and powers AI workloads seamlessly and sustainably, on premises and in the cloud.